AI and Risk Management in Finance

Key Takeaways

This webinar discusses how AI and ML are being used in the financial industry and discuss key topics of interest in the risk management  community.

• Testing and Validation of AI/ML models
• State of Regulation for AI in the financial industry
• Stress testing and Scenario testing for AI/ML models
• Role of Algorithmic Auditing in Finance
• How do you and your workforce prepare to be successful in adopting AI in the enterprise

Speakers

Sri Krishnamurthy is the founder of QuantUniversity, a data and quantitative analysis company. He has more than 15 years experience in analytics, quantitative analysis, statistical modeling and software development. He is a quantitative specialist with significant experience in designing data mining and analytic systems for some of the world’s largest asset management and financial companies.

Sri has worked at MathWorks as a Computational Finance Consultant where he worked with more than 25 customers providing asset management, energy analytics, risk management and trading solutions. Prior to that, Sri was a consultant at Endeca (now Oracle) in their Analytics Group and at Citigroup in their Fixed-Income Group building large-scale analytical and trading systems. He is a Charted Financial Analyst and a Certified Analytics Professional. He is an active member of the Boston Security Analysts society and QWAFAFEW.

Sri is the creator of the Fintech Certificate Program & Analytics Certificate Program and teaches graduate courses in Quantitative methods, Data science and Analytics and Big Data at Babson College, Northeastern University and Hult International Business School. 

Resources